Suchergebnisse

ABSTRACTExperiential learning is a growing practice in higher education today. Master of Public Administration (MPA) programs use experiential learning to expose students to application and reinforcement of academic theories and concepts. This most often is accomplished through a required internship. This article argues for the addition of service learning requirements to MPA curricula. A complementary relationship between internship and service learning requirements yields four primary benefits: (1) further involvement of pre-service and in-service students in experiential-learning activities; (2) additional exposure to real-life application of course concepts; (3) better and more targeted classroom reinforcement mechanisms; and (4) additional community benefit. Complementarity between internship and service learning requirements allows the best of each experiential-learning approach to augment the other. We contend that this produces better-prepared MPA graduates by exposing them to a more diverse set of immersive learning opportunities and application scenarios.

Public opinion matters in environmental policy making. This study examines how individuals form opinions on three distinct environmental topics—climate change, the importance of environmental protection relative to job creation, and wilderness protection. Previous research focusing on environmental concern has yielded conflicting or inconclusive results. We argue that how citizens form attitudes within the environmental domain varies across environmental dimensions and that high information costs cause citizens to engage in heuristic processing to form their opinions. We empirically test our hypothesis by analyzing original data collected from the 2010 Cooperative Congressional Election Survey. We find that with more complex issues, citizens rely on familiar shortcuts such as party identification, ideology, and the media. With less complex issues, demographic factors are predictors of attitudes, lending support to arguments that citizens use familiar shortcuts when processing political and policy information.Related ArticlesRipberger, Rabovsky, and Herron. 2011. "Public Opinion and Nuclear Zero: A Domestic Constraint on Ditching the Bomb."http://onlinelibrary.wiley.com/doi/10.1111/j.1747‐1346.2011.00327.x/abstractElliott‐Teague. 2011. "Public Interests and the Development of Tanzanian Environmental Policy."http://onlinelibrary.wiley.com/doi/10.1111/j.1747‐1346.2011.00318.x/abstractLa opinión publica importa al hacer políticas ambientales. Este estudio examina cómo los individuos forman opiniones sobre tres temas ambientales distintos—cambio climático, la importancia del cuidado ambiental respecto a la creación de empleos, y la protección de la vida salvaje. Investigaciones pasadas enfocadas en el cuidado ambiental han producido resultados contradictorios o inconclusos. Nosotros argumentamos que la forma en la que los ciudadanos forman posturas dentro del ámbito ambiental varía a través de las distintas dimensiones ambientales y que altos costos de información causa que los ciudadanos usen reglas heurísticas para procesar la información y formar su opinión. Ponemos a prueba nuestra hipótesis analizando información obtenida del 2010 Cooperative Congressional Election Survey. Encontramos que para temas más complejos los ciudadanos se basan en medios familiares como identificación partidaria, ideología y medios de comunicación. Para temas menos complejos, los factores demográficos pueden predecir las posturas, dando soporte a argumentos que sostienen que los ciudadanos usan atajos familiares para procesar información política y sobre políticas públicas.

This study extends a previous project which examined the salience of neo‐institutional theory in explaining how data are selected for use in making and implementing biodiversity management decisions. Our prior findings prompted us to examine the selection of data from federal, state or local, and nongovernmental sources using aspects of diffusion theory. We argue that diffusion theory also possesses explanatory value regarding the identification and selection of data within a natural resource agency. We empirically test our theory by analyzing original data collected from a 2007 survey of U.S. Fish and Wildlife Service field offices. We find that drivers of diffusion identified by previous research are explanatory of how data are selected. Specifically, perceptions of other field offices' data selection procedures and collaboration with interest or advocacy groups aid in explaining field office data selection. The results enhance our understanding of the science‐natural resource policy relationship.Related Articles
Hallock Morris, Mary. 2007. "." Politics & Policy 35 (): 836‐871. http://onlinelibrary.wiley.com/doi/10.1111/j.1747‐1346.2007.00086.x/abstract


Bakenova, Saule. 2008. "." Politics & Policy 36 (): 676‐719. http://onlinelibrary.wiley.com/doi/10.1111/j.1747‐1346.2008.00125.x/abstract


Neill, Katharine A., and John C. Morris. 2012. "." Politics & Policy 40 (): 629‐656. http://onlinelibrary.wiley.com/doi/10.1111/j.1747‐1346.2012.00371.x/abstract
Related MediaFilm: by McBride, Dennis K. 2009. "." . National Capital Area Skeptics. http://www.youtube.com/watch?v=E3IuZ6Mqg18


. 2013. "." March 15. http://www.nars.org/bas.html

Best available science has long been the standard for using science to inform environmental and natural resource policy. This study examines the selection of data from federal, state or local, and nongovernmental sources for use in making ground-level natural resource policy, or biodiversity management decisions. The authors argue that aspects of neo-institutional theory are explanatory of data selection within a natural resource agency. They empirically test their theory by analyzing original data collected from a 2007 survey of U.S. Fish and Wildlife Service field offices, which attained a response rate of 36.6% (204 of 557 field offices). The authors find that data selection cannot merely be explained by the discussion of best available science. Rather, neo-institutional theory tenets of normative isomorphism and path dependency are explanatory of how science is selected for use in making biodiversity management decisions. However, coercive isomorphism does not possess the same explanatory ability with regard to U.S. Fish and Wildlife Service field office data selection.